In an era characterized by an unprecedented deluge of data, organizations face the daunting task of transitioning from information overload to actionable intelligence. This research paper investigates the multifaceted challenges inherent in the realm of Big Data and explores strategies for transforming vast datasets into meaningful insights that drive informed decision-making. The paper begins by delineating the landscape of information overload, elucidating the complexities arising from the volume, velocity, and variety of data. It highlights the hurdles posed by disparate data sources, unstructured formats, and the need for scalable infrastructure to process and analyze data in real-time. The paper also addresses ethical considerations associated with Big Data, emphasizing the need for responsible data governance, privacy protection, and transparency in the era of heightened data awareness. By understanding and overcoming these challenges, businesses can unlock the true potential of their data, transforming it into actionable intelligence that shapes strategic decisions and propels innovation in an ever-evolving digital landscape.
From Information Overload to Actionable Intelligence: Navigating Big Data Challenges
Journal Title: Asian Journal of Multidisciplinary Research & Review
Author(s): Mason Scott & Abigail Reed
Published On: 31/08/2022
First Page: 185
Last Page: 193
Publisher: The Law Brigade Publisher
Cite this Article
Mason Scott & Abigail Reed, From Information Overload to Actionable Intelligence: Navigating Big Data Challenges, Volume 3 Issue 4, Asian Journal of Multidisciplinary Research & Review, 185-193, Published on 31/08/2022, Available at https://ajmrr.thelawbrigade.com/article/from-information-overload-to-actionable-intelligence-navigating-big-data-challenges/
Share this research
Copyright © 2024
Mason Scott & Abigail Reed
Ownership and Licensing:
Authors of this research paper submitted to the Journal of Science & Technology retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and have granted the journal a right of first publication. Simultaneously, authors agreed to license their research papers under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
Under the CC BY-NC-SA 4.0 License, others are permitted to share and adapt the work, as long as proper attribution is given to the authors and acknowledgement is made of the initial publication in the Journal of Science & Technology. This license allows for the broad dissemination and utilization of research papers.
Additional Distribution Arrangements:
Authors are free to enter into separate contractual arrangements for the non-exclusive distribution of the journal’s published version of the work. This may include posting the work to institutional repositories, publishing it in journals or books, or other forms of dissemination. In such cases, authors are requested to acknowledge the initial publication of the work in the Journal of Science & Technology.
Authors are encouraged to share their work online, including in institutional repositories, disciplinary repositories, or on their personal websites. This permission applies both prior to and during the submission process to the Journal of Science & Technology. Online sharing enhances the visibility and accessibility of the research papers.
Responsibility and Liability:
Authors are responsible for ensuring that their research papers do not infringe upon the copyright, privacy, or other rights of any third party. The Journal of Science & Technology and The Science Brigade Publishers disclaim any liability or responsibility for any copyright infringement or violation of third-party rights in the research papers.